Secure Password-Driven Fingerprint Biometrics Authentication

2020

Closed access Metadata (CSL-JSON)
DOI 10.1109/sds49854.2020.9143881
Data confidence 70 medium
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Abstract

With emergence of latest technology, life of individuals has greatly been improved. On the other hand, there has been vulnerabilities and loopholes in the technology that exploited the security. As, user and passwords provide safeguard to data, but physical and behavioral process require the authentication, As, passwords and user login cannot provide proper authentication process. Thus, biometrics process provides the authentication to physical and behavioral characteristics. In this paper, we introduce Secure password-driven Fingerprint Biometrics Authentication (SPFBA) method for protecting the confidential and private information stored onto the smartphone in case of lost and stolen. The SPFBA is unibiometric, but leveraging the features and integrating fingerprint biometrics authentication with password-driven method. Furthermore, false acceptance rate accuracy, false rejection rate accuracy and genuine acceptance rate accuracy are determined. To determine the effectiveness of the proposed SPFBA; Java platform and Android studio are used for implementation. Finally, SPFBA is compared with other known biometric authentication methods from accuracy perspective.